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Chatbot Training Jobs in Texas (NOW HIRING)

... than a chatbot. * Prompts as Code: Willingness to treat prompts and agent logic as version ... training, and location. This position requires access to technology, software, and data that is ...

... training to have an impactful summer. Some examples of previous summer intern projects: * Self ... Creating a natural language Chatbot for searching CDISI knowledge base * Developing a prototype ...

Security Engineer II

Austin, TX · On-site

$113 - $155/hr

... than a chatbot. * Prompts as Code: Willingness to treat prompts and agent logic as version ... training, and location. This position requires access to technology, software, and data that is ...

... than a chatbot. * Prompts as Code: Willingness to treat prompts and agent logic as version ... training, and location. This position requires access to technology, software, and data that is ...

... than a chatbot. * Prompts as Code: Willingness to treat prompts and agent logic as version ... training, and location. This position requires access to technology, software, and data that is ...

... than a chatbot. * Prompts as Code: Willingness to treat prompts and agent logic as version ... training, and location. This position requires access to technology, software, and data that is ...

Showing results 41-48

Chatbot Training information

What is chatbot training?

Chatbot training is the process of teaching a chatbot how to understand and respond to user inputs effectively. This involves feeding the chatbot with example conversations, questions, and answers so it can learn to interpret language, context, and intent. Training can be done using rule-based approaches, machine learning, or a combination of both. The goal is to improve the chatbot’s accuracy and ability to provide helpful, human-like responses.

What are the key skills and qualifications needed to thrive as a chatbot trainer, and why are they important?

To thrive as a Chatbot Trainer, you need a strong understanding of natural language processing (NLP), data annotation, and linguistic analysis, typically supported by a background in linguistics, computer science, or a related field. Familiarity with annotation tools, training platforms like Dialogflow or Rasa, and knowledge of data labeling standards and processes is essential. Attention to detail, critical thinking, and clear communication are important soft skills for effective data labeling and iterative improvement. These skills ensure that chatbots are trained accurately and efficiently, leading to better conversational AI performance and user satisfaction.

What are some common challenges faced by professionals working in chatbot training, and how can they address them?

Professionals in chatbot training often encounter challenges such as ensuring the chatbot understands various user intents, handling ambiguous language, and continuously improving the bot's responses based on user feedback. Collaborating closely with data scientists, developers, and UX designers is essential to iteratively refine training data and conversational flows. Staying updated with advancements in natural language processing (NLP) can also help address limitations and maintain a high-quality user experience. Regular review of chat logs and user interactions is key to identifying areas for improvement.

What is the difference between Chatbot Training vs Chatbot Developer?

AspectChatbot TrainingChatbot Developer
Required SkillsNatural Language Processing, data annotation, machine learning basicsProgramming, software development, API integration
Work EnvironmentData labeling, model refinement, content creationCoding, system design, deployment
CertificationsAI/ML certifications, NLP coursesSoftware development certifications, coding bootcamps
Industry UsageTraining AI models for chatbots, improving understandingBuilding and maintaining chatbot platforms and applications

Chatbot Training focuses on preparing AI models through data annotation and refining language understanding, while Chatbot Developers build and implement the chatbot systems using programming skills. Both roles are essential in creating effective chatbots but differ in technical complexity and daily tasks.

What cities in Texas are hiring for Chatbot Training jobs?

Cities in Texas with the most Chatbot Training job openings:

Infographic showing various Chatbot Training job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

Security Engineer II

Procore

Austin, TX • On-site

Full-time

Posted 15 days ago


Key responsibilities

  • Implement, test, and operate autonomous security agents that protect the platform, data, and users.

  • Build and deploy security agents, including writing and maintaining tools they call, and monitor their performance in production.

  • Convert manual security tasks into autonomous or human-in-the-loop workflows, and monitor agents in production for issues.


Job description

We're looking for a Security Engineer II to join Procore's Security Engineering team.In this role, you won't be watching dashboards and triaging tickets - you'll be building the agents that do that work for us. You will implement, test, and operate the autonomous security agents that protect our platform, data, and users, turning manual security toil into code that fixes itself.

As a Security Engineer II, you'll work alongside the senior and staff engineers who set our agentic patterns, and with Engineering, IT, GRC, and Security Operations who depend on them. Use your software skills and your security fundamentals to own individual agents end to end - the tools they call, the guardrails that contain them, and the evals that prove they work. This is the fastest path we know from operating security tools to building autonomous ones-Apply today.

This position reports into the Senior Manager, Security Engineering and will be based in our Austin, TX office. We're looking for someone to join us immediately.

What you'll do:

  • Build & Ship Security Agents: Implement and deploy security agents on the paved-path patterns our engineers define, owning individual agents end to end from tool definitions through production monitoring.

  • Extend the Tool Surface: Write and maintain the tools agents call - cloud queries, API integrations, remediation actions - in Python or Go, with tests, input validation, and explicit failure modes.

  • Evaluate & Harden: Build and run eval suites that measure agent accuracy, catch regressions, and test resistance to prompt injection before anything reaches production.

  • Automate Security Toil: Convert recurring manual work - IAM findings, cloud misconfigurations, drift in Kubernetes (EKS) and Terraform - into autonomous or human-in-the-loop remediation workflows.

  • Implement Agent Identity Hygiene: Wire up short-lived, least-privilege credentials for agent workloads (OIDC federation, IRSA / workload identity) and make sure every agent action is attributable in our audit trail.

  • Operate the Fleet: Monitor agents in production for cost, latency, iteration limits, and false positives; triage failures and fix the root cause in code rather than re-running by hand.

  • Autonomous Asset & SBOM Workflows: Contribute to agentic pipelines for real-time asset discovery and SBOM generation, filtering output so findings are actionable rather than noise.

  • Review, Document & Support: Participate in agent logic and prompt reviews, document what you build so others can reuse it, and provide on-call support for the systems you own on a rotational basis.

  • On-Call: Provide on-call support on a rotational basis for the agents and pipelines you own.

What we're looking for:

  • Bachelor's degree in Computer Science or equivalent practical experience, and 2+ years in a hands-on technical security or infrastructure engineering role. You'd rather ship the fix than file the ticket.

  • Working Code: Proficiency in Python or Go beyond scripting - you've written software other people depend on, with tests, code review, and CI.

  • Agentic Exposure: You've built or meaningfully contributed to at least one LLM-powered tool or agent, and understand tool-calling, ReAct-style loops, and retrieval. Production experience is a plus, not a requirement.

  • AI-Assisted Engineering: Fluent but skeptical use of AI coding tools (Cursor, Claude Code, Copilot). You use them to move fast, and you still read every diff you ship.

  • Security Fundamentals: Solid grounding in identity and access management (SAML, OAuth 2.0, OIDC, SCIM), cloud and infrastructure security, and common web/API vulnerability classes.

  • Cloud & Containers: Hands-on experience with AWS security services and Kubernetes (EKS), including how workloads obtain and use credentials.

  • AI Risk Awareness: Working knowledge of AI-specific risks - prompt injection, RAG data leakage, over-privileged agents (OWASP LLM Top 10) - and why an agent with tool access is a different risk object than a chatbot.

  • Prompts as Code: Willingness to treat prompts and agent logic as version-controlled, testable engineering artifacts rather than one-off experiments.

  • Communication & Growth: Clear written communication, a collaborative attitude, and real appetite to grow from operating security tools into building autonomous ones

Additional Information

Base Pay Range:

113,040.00 - 155,430.00 USD Annual

This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location.

This position requires access to technology, software, and data that is controlled or restricted under U.S. law, regulation, executive order, or government contract.

For Los Angeles County (unincorporated) Candidates:

Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.